Justin Moat

8.8k total citations · 2 hit papers
65 papers, 4.6k citations indexed

About

Justin Moat is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecological Modeling and Nature and Landscape Conservation. According to data from OpenAlex, Justin Moat has authored 65 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Ecology, Evolution, Behavior and Systematics, 20 papers in Ecological Modeling and 18 papers in Nature and Landscape Conservation. Recurrent topics in Justin Moat's work include Species Distribution and Climate Change (20 papers), Ecology and Vegetation Dynamics Studies (17 papers) and Plant and animal studies (14 papers). Justin Moat is often cited by papers focused on Species Distribution and Climate Change (20 papers), Ecology and Vegetation Dynamics Studies (17 papers) and Plant and animal studies (14 papers). Justin Moat collaborates with scholars based in United Kingdom, United States and Brazil. Justin Moat's co-authors include Steven P. Bachman, Javier de la Torre, Ben Scott, Andrew Hill, Aaron P. Davis, Susana Baena, Tadesse Woldemariam Gole, Neil Brummitt, Eimear Nic Lughadha and Paul Smith and has published in prestigious journals such as Science, PLoS ONE and Scientific Reports.

In The Last Decade

Justin Moat

62 papers receiving 4.4k citations

Hit Papers

Supporting Red List threat assessments with GeoCAT: geosp... 2011 2026 2016 2021 2011 2012 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Justin Moat United Kingdom 32 2.5k 1.2k 1.2k 915 745 65 4.6k
Eimear Nic Lughadha United Kingdom 35 2.8k 1.1× 1.4k 1.1× 1.1k 0.9× 1.3k 1.4× 895 1.2× 97 4.4k
Rafaël Govaerts United Kingdom 31 2.0k 0.8× 1.5k 1.3× 1.2k 1.0× 734 0.8× 449 0.6× 95 3.7k
Michelle van der Bank South Africa 27 2.4k 1.0× 1.4k 1.1× 1.9k 1.6× 1.1k 1.2× 542 0.7× 112 4.5k
Thomas A. Kursar United States 48 2.9k 1.2× 2.8k 2.3× 928 0.8× 2.7k 3.0× 549 0.7× 104 7.4k
George D. Weiblen United States 43 4.1k 1.7× 2.4k 2.0× 1.1k 0.9× 2.5k 2.7× 660 0.9× 98 6.3k
Zuzana Münzbergová Czechia 40 2.2k 0.9× 3.0k 2.5× 674 0.6× 2.2k 2.5× 487 0.7× 217 5.2k
Gideon F. Smith South Africa 24 1.6k 0.7× 2.0k 1.7× 765 0.7× 517 0.6× 327 0.4× 475 3.6k
Luciano Paganucci de Queiroz Brazil 37 3.2k 1.3× 1.8k 1.5× 1.6k 1.4× 889 1.0× 176 0.2× 215 5.0k
Colin E. Hughes United Kingdom 38 3.8k 1.5× 2.0k 1.7× 1.8k 1.5× 1.4k 1.6× 474 0.6× 110 6.0k
Félix Forest United Kingdom 47 5.0k 2.0× 2.6k 2.1× 3.1k 2.7× 1.6k 1.8× 733 1.0× 205 8.0k

Countries citing papers authored by Justin Moat

Since Specialization
Citations

This map shows the geographic impact of Justin Moat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Justin Moat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Moat more than expected).

Fields of papers citing papers by Justin Moat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Moat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Justin Moat. The network helps show where Justin Moat may publish in the future.

Co-authorship network of co-authors of Justin Moat

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Moat. A scholar is included among the top collaborators of Justin Moat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Justin Moat. Justin Moat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Plumb, William J., Jonathan Stocks, Laura J. Kelly, et al.. (2025). Rapid polygenic adaptation in a wild population of ash trees under a novel fungal epidemic. Science. 388(6754). 1422–1425. 1 indexed citations
2.
Eisenlohr, Pedro V., et al.. (2025). Biodiversity at Risk: Climate Change Impacts on Brazil’s Semiarid Caatinga Flora. Earth Systems and Environment.
3.
Davis, Aaron P., Martin Cheek, Justin Moat, et al.. (2025). Genomic data define species delimitation in Liberica coffee with implications for crop development and conservation. Nature Plants. 11(9). 1729–1738.
4.
Holland, Ross J., Cecilia Chavana‐Bryant, R. L. Levy, et al.. (2024). Giant sequoia ( Sequoiadendron giganteum ) in the UK: carbon storage potential and growth rates. Royal Society Open Science. 11(3). 230603–230603. 1 indexed citations
5.
Davis, Aaron P., et al.. (2021). Arabica-like flavour in a heat-tolerant wild coffee species. Nature Plants. 7(4). 413–418. 38 indexed citations
6.
Farooq, Harith, Josué A. R. Azevedo, Dominic J. Bennett, et al.. (2020). WEGE: A new metric for ranking locations for biodiversity conservation. Diversity and Distributions. 26(11). 1456–1466. 16 indexed citations
7.
Bachman, Steven P., et al.. (2020). Rapid Least Concern: towards automating Red List assessments. ZooKeys. 8. e47018–e47018. 27 indexed citations
8.
Whaley, Oliver Q., et al.. (2020). Ecology and diagnosis of Enallodiplosis discordis (Diptera:Cecidomyiidae). Revista Peruana de Biología. 27(4). 451–482. 3 indexed citations
9.
Stevenson, Philip C., Martin I. Bidartondo, Timothy R. Cavagnaro, et al.. (2020). The state of the world’s urban ecosystems: What can we learn from trees, fungi, and bees?. Plants People Planet. 2(5). 482–498. 27 indexed citations
10.
Moat, Justin, et al.. (2020). To clean or not to clean: Cleaning open‐source data improves extinction risk assessments for threatened plant species. Conservation Science and Practice. 2(12). 20 indexed citations
11.
Bystriakova, Nadia, et al.. (2019). A Preliminary Evaluation of The Karst Flora of Brazil Using Collections Data. Scientific Reports. 9(1). 17037–17037. 19 indexed citations
12.
Baena, Susana, Justin Moat, Oliver Q. Whaley, & Doreen S. Boyd. (2017). Identifying species from the air: UAVs and the very high resolution challenge for plant conservation. PLoS ONE. 12(11). e0188714–e0188714. 107 indexed citations
13.
Moat, Justin, Jenny Williams, Susana Baena, et al.. (2017). Resilience potential of the Ethiopian coffee sector under climate change. Nature Plants. 3(7). 17081–17081. 180 indexed citations
14.
Beresford‐Jones, David, Oliver Q. Whaley, Justin Moat, et al.. (2015). Re-evaluating the resource potential of lomas fog oasis environments for Preceramic hunter–gatherers under past ENSO modes on the south coast of Peru. Quaternary Science Reviews. 129. 196–215. 45 indexed citations
15.
Paun, Ovidiu, Richard M. Bateman, Michael F. Fay, et al.. (2011). Altered gene expression and ecological divergence in sibling allopolyploids of Dactylorhiza (Orchidaceae). BMC Evolutionary Biology. 11(1). 113–113. 58 indexed citations
16.
Bachman, Steven P., Justin Moat, Andrew Hill, Javier de la Torre, & Ben Scott. (2011). Supporting Red List threat assessments with GeoCAT: geospatial conservation assessment tool. ZooKeys. 150(150). 117–126. 1449 indexed citations breakdown →
17.
Gardens, Kew Royal Botanic, Justin Moat, & Paul Smith. (2007). Atlas of the vegetation of Madagascar : Atlas de la vegetation de Madagascar. 90 indexed citations
18.
Beentje, Henk, A. Cameron, Justin Moat, et al.. (2007). Atlas of the Vegetation of Madagascar. 183 indexed citations
19.
Roberts, David L., Justin Moat, & Greg McInerny. (2005). What have herbaria ever done for us? The role of herbaria in conservation assessments. Kent Academic Repository (University of Kent). 4 indexed citations
20.
Lughadha, Eimear Nic, Wilhelm Barthlott, Neil Brummitt, et al.. (2005). Measuring the fate of plant diversity: towards a foundation for future monitoring and opportunities for urgent action. Philosophical Transactions of the Royal Society B Biological Sciences. 360(1454). 359–372. 69 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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